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Christy Bergman

Cheng Su

Embedding Inference at Scale for RAG Applications with Ray Data and Milvus

Avnish Narayan

Jun Gong

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Reinforcement learning sessions at Ray Summit: A guided tour

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Biggest takeaways from our RL tutorial: Long-term rewards, offline RL, and more

Amog Kamsetty

Displaying [New York City Yellow Taxi](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page) ride volumes, with 1 week hourly forecast.  Blue=observed, Orange=predicted, per validation dataset.  Forecast generated using Google’s Temporal Fusion Transformer algorithm implemented by Pytorch forecasting, and parallelized by Ray for faster runtime, either on a laptop or on any cloud.  Image by Author.  

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Time Series Forecasting using an LSTM version of RNN with PyTorch Forecasting and Torch Lightning

New York City Yellow Taxi ride volumes per location 

Scaling Time Series Forecasting on Ray: ARIMA and Prophet on Ray

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Scalable Machine Learning with Anyscale and Astronomer

Unlocking the Power of Scalable Machine Learning with Anyscale and Astronomer

At Ray Summit 2024, we brought together AI experts and practitioners to dive into the future of distributed AI and scalable machine learning.

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Ray Summit 2024: Breaking Through the AI Complexity Wall

Explore the new and improved Anyscale Workspaces. Get advanced observability features so you spend less time on busywork and more time building AI apps.

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Explore Anyscale’s New UX

Anyscale’s New User Experience: A Comprehensive Overview

With Anyscale on AWS Marketplace, you can build, scale, and optimize AI/ML and Generative AI—all within the trusted AWS cloud environment.

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Anyscale Available on AWS Marketplace

Anyscale Now Available on AWS Marketplace and Achieves Generative AI Competency

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